Software Engineer II

Azure Workloads Platform Team (Azure Specialized)

Are you looking to make a real difference in Microsoft’s mission to empower every person and organization to achieve more, with the power of cloud computing? Do you want to work at the forefront of Cloud Computing to design, deliver & operate cloud-scale systems that are the foundation of the World’s Computer which is Azure? Do you want to be part of a highly motivated and passionate team that works together to do what it takes for our customers to be successful while having fun and learning along the way?

We pride ourselves in working without boundaries to deliver the cloud platform capable of running any workload. And we mean ANY! Think of any large Microsoft service; Teams, Bing, Exchange, Xbox, SQL Azure, Office 365, HDInsight, COSMOS DB…. Or customers such as SAP, Accenture, Adobe, Walgreens, Walmart, Flipkart, In-Mobi and the multitude of the large/medium/small shopping, banking, finance, gaming, logistics, enterprises, data analytics/management, storage services of the world. And they run on infrastructure we build.

The Azure Workloads Team’s core mission is to build the platform that makes Azure the best cloud platform for running mission critical workloads (lie SAP, ORACLE, EPIC, etc), which includes building first class Onboarding, Managing, Monitoring experience for workloads in Azure and providing migration to Azure story for workloads running on-premises. We help our enterprise customers accelerate their digital transformation journeys and achieve seamless scale by providing a platform for running mission critical workloads. We’re growing incredibly, so expect a fast-paced environment with ample opportunity to solve challenging problems and deliver great solutions to customers around the world. We are looking for a customer-focused, highly passionate, strong software engineer with enterprise and infrastructure as service (IaaS) experience to help drive the future of our platform. Come join us and help shape the next generation Azure SAP Platform for Azure.

Required Qualifications:  

• 4+ years of professional experience designing, developing, and shipping software.
• Bachelor’s Degree in Computer Science or equivalent experience. 
• Experience/knowledge of cloud computing, enterprise computing, IaaS and/or SaaS products.
• Proven ability for tracking complex technical issues for running online services.
• Excellent written and oral communication skills.
• Experience with .NET based systems is a plus.
• Experience using Linux, Docker, Kubernetes is a plus.
• Experience/knowledge of SAP/Oracle and ecosystem is a plus

Preferred Qualifications:  

• Experience with public cloud services including Azure, AWS or Google Cloud.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Develop deep understanding of customer requirements for mission critical workloads and build a seamless experience to deploy them in Azure.
• Design, build and deliver the next set of services, features and developer tools that will define how workloads are developed and hosted on Azure.
• Accountability for design, implementation, quality, live site & success of customers.
• Testability right from the beginning and build engineering systems to automate the testing from component/unit/E2E scenario perspective to validate the quality & avoid regressions.